Modeling of analog circuits by using support vector regression machines

被引：0
|
作者：
Ceperic, V [1 ]
Baric, A [1 ]
机构：
[1] Univ Zagreb, Fac Elect Engn & Comp, Zagreb 10000, Croatia
来源：
ICECS 2004: 11th IEEE International Conference on Electronics, Circuits and Systems | 2004年
关键词：
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
The support vector regression method is used for modeling of electronic circuits. The method ensures simple, robust and accurate modeling of electronic circuits. It yields very good results for situations not specified in the learning data set, demonstrating very good generalization property of support vector machines. The method is applicable to modeling based on the measurements or device-level circuit simulations. Several GaAs circuits (buffer, resistive mixer, ring oscillator) are modeled using the proposed method.
引用
收藏
页码：391 / 394
页数：4
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